Framework and Product Comparison for Big Data Log Analytics and ITOA

Posted in Analytics, Big Data, Hadoop, Microservices on February 4th, 2016 by Kai Wähner

In February 2016, I presented a brand new talk at OOP in Munich: “Comparison of Frameworks and Tools for Big Data Log Analytics and IT Operations Analytics”. The focus of the talk is to discuss different open source frameworks, SaaS cloud offerings and enterprise products for analyzing big masses of distributed log events. This topic is getting much more traction these days with the emerging architecture concept of Microservices.

Key Take-Aways

  • Log Analytics enables IT Operations Analytics for Machine Data
  • Correlation of Events is the Key for Added Business Value
  • Log Management is complementary to other Big Data Components
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Microservices = Death of the ESB? (2016, Meetup Dublin)

Posted in API Management, Big Data, Cloud, Docker, EAI, ESB, IT Conferences, Microservices, SOA on January 29th, 2016 by Kai Wähner

I was invited to speak at Microservices Meetup Dublin this week. I updated my slide deck “Microservices – Death of the ESB?” … The meetup was fully booked with a waiting list; around 120 attendees came to Gild‘s office. (see attached link).

If you have not seen the slide deck last year, you should definitely take a look at this updated version with more recent information. I also incorporated valuable information from discussions with attendees in 2015’s sessions about this topic.

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Comparison of Stream Processing Frameworks and Products

Posted in Analytics, Business Intelligence, Hadoop, In Memory on October 25th, 2015 by Kai Wähner

See how products, libraries, and frameworks that full under ‘streaming data analytics’ use cases are categorized and compared.

Streaming Analytics processes data in real time while it is in motion. This concept and technology emerged several years ago in financial trading, but it is growing increasingly important these days due to digitalization and Internet of Things (IoT). The following slide deck from a recent talk at a conference covers:

  • Real world success stories from different industries (Manufacturing, Retailing, Sports)
  • Alternative Frameworks and Products for Stream Processing
  • Complementary Relationship to Data Warehouse, Apache Hadoop, Statistics, Machine Learning, Open Source R, SAS, Matlab, etc.
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Difference between a Data Warehouse and a Live Datamart?

Posted in Analytics, Big Data, Business Intelligence, In Memory on October 9th, 2015 by Kai Wähner

Data Warehouses have existed for many years in almost every company. While they are still as good and relevant for the same use cases as they were 20 years ago, they cannot solve new, existing challenges and those sure to come in a ever-changing digital world. The upcoming sections will clarify when to still use a Data Warehouse and when to use a modern Live Datamart instead.

What is a Data Warehouse (DWH)?

A Data Warehouse is a central repository of integrated data from more disparate sources. It stores historical data to create analytical reports for knowledge workers throughout the enterprise. A DWH includes a server, which stores the historical data and a client for analysis and reporting.

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Docker Containers in the Middleware Universe

Posted in Cloud, Docker, EAI, ESB, Microservices, SOA on September 7th, 2015 by Kai Wähner

Docker is one of the hottest technologies right now.

Relation to SOA, ESB and Microservices

Many TIBCO customers already ask how they can leverage Docker in combination with SOA, ESB and Microservices, and what TIBCO’s strategy is. I just want to refer to an article I published recently, it shows some insights about TIBCO’s future strategy from the Docker perspective:

Docker Containers in the TIBCO Universe

The following shows a snippet of the article, which explains how Docker is related to Microservices.

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Microservices = Death of the Enterprise Service Bus (ESB)? – Slide Deck and Video Recording

Posted in API Management, Cloud, EAI, ESB, Java / JEE, Microservices, SOA on June 29th, 2015 by Kai Wähner

In 2015, the middleware world focuses on two buzzwords: Docker and Microservices. Software vendors still sell products such as an Enterprise Service Bus (ESB) or Complex Event Processing (CEP) engines. How is this related?

Docker is a fascinating technology to deploy and distribute modules (middleware, applications, services) quickly and easily. Most people agree that Docker will change the future of software development in the next years. I will do another blog post about how Docker is related to TIBCO and how you can deploy and distribute Microservices with Docker and TIBCO products such as TIBCO EMS and BusinessWorks 6 easily.

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Right Technology, Framework or Tool to Build Microservices

Posted in Analytics, API Management, Big Data, Cloud, EAI, ESB, In Memory, Java / JEE, SOA on May 27th, 2015 by Kai Wähner

Last week, I gave a talk at a German conference (Karlsruher Entwicklertag 2015) about Microservices. The following slide deck shows plenty of different technologies (e.g. REST, WebSockets), frameworks (e.g. Apache CXF, Apache Camel, Puppet, Docker) or tools (e.g. TIBCO BusinessWorks, API Exchange) to realize Microservices.

Abstract: How to Build Microservices

Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. This way you get shorter time to results and increased flexibility.

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TIBCO BusinessWorks and StreamBase for Big Data Integration and Streaming Analytics with Apache Hadoop and Impala

Posted in Analytics, Big Data, Business Intelligence, Hadoop, In Memory, NoSQL on April 14th, 2015 by Kai Wähner

Apache Hadoop is getting more and more relevant. Not just for Big Data processing (e.g. MapReduce), but also for Fast Data processing (e.g. Stream Processing). Recently, I published two blog posts on the TIBCO blog to show how you can leverage TIBCO BusinessWorks 6 and TIBCO StreamBase to realize Big Data and Fast Data Hadoop use cases.

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Micro Services Architecture = Death of Enterprise Service Bus (ESB)?

Posted in API Management, Cloud, EAI, ESB, In Memory, Java / JEE on January 8th, 2015 by Kai Wähner

These days, it seems like everybody is talking about microservices. You can read a lot about it in hundreds of articles and blog posts, but my recommended starting point would be this article by Martin Fowler, which initiated the huge discussion about this new architectural concept. This article is about the challenges, requirements and best practices for creating a good microservices architecture, and what role an Enterprise Service Bus (ESB) plays in this game.

Branding and Marketing: EAI vs. SOA vs. ESB vs. Microservices

Let’s begin with a little bit of history about Service-oriented Architecture (SOA) and Enterprise Service Bus to find out why microservices have become so trendy.

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Microservices and DevOps with TIBCO Products

Posted in API Management, Big Data, Cloud, EAI, ESB, SOA on December 29th, 2014 by Kai Wähner

Everybody is talking about Microservices these days. You can read a lot about Microservices in hundreds of articles and blog posts. A good starting point is Martin Fowler’s article, which initiated the huge discussion about this new architecture concept.

For an overview about requirements for a good Microservices architecture, also read this article: “Do Good Microservices Architectures Spell the Death of the Enterprise Service Bus?

Another great resource is an free on-demand webinar by vendor-independent analyst Gartner: “Time to Get Off the Enterprise Service Bus“. It does not even mention the term “Microservices”, but explains its basic motivation and concepts.

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